Mobile Applications for Depression: Comparing Cognitive and Behavioral Approaches

抑郁症的移动应用程序：比较认知和行为方法

• 批准号: 8830095
• 负责人: Colleen Stiles-Shields
• 金额: $ 4.27万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-11-16 至 2016-11-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8830095
• 关键词: Address; Aftercare; American; Australia; Behavior Therapy; Behavioral; Car Phone; Caucasians; Caucasoid Race; Characteristics; Cognitive; Cognitive Therapy; Data; Depressive disorder; Elements; Employee Assistance Program (Health Care); Epidemic; Feasibility Studies; Future; Goals; Health; Health Services Accessibility; Healthcare Systems; Individual; Industry; Internet; Intervention; Knowledge; Literature; Long-Term Care; Measures; Mental Depression; Mental Health; Mental disorders; Methods; Modeling; Monitor; Moods; Morbidity - disease rate; Nature; Online Systems; Outcome; Participant; Patients; Prevalence; Process; Psyche structure; Psychological Theory; Psychology; Randomized; Research; Research Personnel; Research Training; Staging; System; Technology; Telephone; Testing; Time; Translating; Translations; Veterans; Work; arm; base; behavioral health; care systems; combat; comparative; comparative trial; cost; depressive symptoms; design; disability; engineering design; ethnic minority population; follow-up; handheld mobile device; health application; high risk; improved; innovation; mHealth; meetings; mobile application; mortality; psychologic; public health relevance; randomized trial; theories; tool; usability; visual feedback

DESCRIPTION (provided by applicant): Depression imposes a very high societal burden in terms of cost, morbidity, suffering, and mortality. It is the leading cause of disability in the Unted States and the fourth leading cause worldwide. Current methods of treatment are insufficient to combat such a widespread health problem. Therefore, addressing this mental health epidemic requires significant changes in intervention strategies. A growing body of research is examining the use of behavioral intervention technologies (BITs), such as mobile phones to deliver behavioral and mental health interventions. The delivery of interventions via mobile phones offers the potential to provide a near continuous connection between a care system and the patient. However, currently available mobile applications (apps) for depression lack evidence regarding their efficacy. App stores currently offer apps for depression that are designed based on cognitive therapy (CT) interventions, some with behavioral activation (BA), some with mood monitoring only, and many with no discernable psychological approach. Even when based on psychological theory, there is no evidence that the translation of these theories, developed for face- to-face treatment, work the same way for people with depression when delivered through an app. Given the quickly evolving nature of mobile apps, conducting research on every available app will never be possible, nor very useful. The proposed research plan takes an innovative approach to investigating BITs for depression by incorporating principles from psychology, engineering, and design to examine two primary psychological principles, CT and BA, delivered by mobile apps. The project will include two stages. First, the most usable elements of existing apps will be identified to create two apps, one using CT and the other BA, targeting depressive symptoms. This usability process will use a clear, model-driven approach to identify the most usable and useful characteristics for three app elements: information delivery, tools, and visual feedback. Following usability testing and improvements, the two apps will be subjected to a small comparative trial. Secondary aims will include an examination of usage of the apps, defined as how many times the apps are opened on the mobile devices. Results will provide information that can be broadly used by developers of apps for depression and may also have implications for apps aimed at treating other mental health disorders.

描述（由申请人提供）：抑郁症在成本、发病率、痛苦和死亡率方面造成了非常高的社会负担。它是美国残疾的主要原因，也是世界范围内第四大原因。目前的治疗方法不足以解决这一广泛的健康问题。因此，应对这一心理健康流行病需要对干预战略进行重大改变。越来越多的研究正在研究使用行为干预技术（BIT），如移动的电话提供行为和心理健康干预。通过移动的电话递送干预提供了在护理系统和患者之间提供近乎连续的连接的可能性。然而，目前可用的移动的应用程序（应用程序）的抑郁症缺乏证据，关于他们的疗效。应用程序商店目前提供基于认知疗法（CT）干预设计的抑郁症应用程序，有些具有行为激活（BA），有些仅具有情绪监测，许多没有可辨别的心理方法。即使是基于心理学理论，也没有证据表明，这些理论是为面对面治疗而开发的，当通过应用程序传递时，对抑郁症患者也会产生同样的效果。鉴于移动的应用程序的快速发展，对每一个可用的应用程序进行研究是不可能的，也是非常有用的。拟议的研究计划采取了一种创新的方法来调查抑郁症的BIT，方法是将心理学、工程学和设计学的原理结合起来，研究移动的应用程序提供的两个主要心理学原理CT和BA。该项目将包括两个阶段。首先，将确定现有应用程序中最有用的元素，以创建两个应用程序，一个使用CT，另一个使用BA，针对抑郁症状。这个可用性过程将使用一种清晰的模型驱动方法来识别三个应用程序元素的最可用和最有用的特征：信息传递，工具和视觉反馈。在可用性测试和改进之后，这两个应用程序将进行小型比较试验。次要目标将包括检查应用程序的使用情况，定义为应用程序在移动的设备上打开的次数。研究结果将提供可被抑郁症应用程序开发人员广泛使用的信息，也可能对旨在治疗其他心理健康疾病的应用程序产生影响。